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method of measuring areas of hair loss/recovery. This will tackle the problems of current technology, where it can be time-consuming, expensive, or require shaving of a patient’s hair. The successful
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Requirements: A first-class or upper second-class (2:1) Bachelor’s degree or a Master’s degree (or equivalent), in Computer Science, Artificial Intelligence, Machine Learning, or a closely related discipline. A
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government and education policy priorities and futureproofing learning experiences to equip future generations of students with the skills to thrive in a technology-driven and interconnected world. Supported
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challenge of our time, and it is more urgent than ever to act fast on reducing greenhouse gas emissions from current chemical manufacturing processes. Plasma technology provides a sustainable, fossil fuel
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to retain original mechanical and material properties. This is an interdisciplinary project involving aspects of material science, chemistry, manufacturing, and life cycle assessment that feeds
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dynamics to bridge the gap between manufacturing and aerodynamic testing, supporting the next generation of high-performance engineering. What you’ll do: Investigate the relationship between manufacturing
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of the candidate We are seeking a highly motivated and compassionate individual with a strong academic foundation in allied health (e.g. physiotherapy), exercise sciences, or psychology, and a genuine interest in
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the online application form for a full-time PhD (or download the PGR application form ) in the Department of Life Sciences. Please include your CV and a cover letter addressing the project’s aims and